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Data-Driven Product Solutions Specialist

2 weeks ago

Adelaide, South Australia Canva Full time

About Us

We're Canva, a global software company that empowers anyone to create professional designs without requiring extensive design or tech skills. Our mission is to make design accessible to everyone, not just designers.

The Role

This position requires a Senior Machine Learning Engineer to join our Martech team, where you'll leverage your advanced machine learning skills to develop innovative data-driven product solutions. You'll collaborate closely with cross-functional teams to drive business outcomes and improve efficiency.

Your key responsibilities will include:

  • Developing and deploying machine learning models at scale, working closely with Product Managers and Engineering Managers.
  • Leveraging data to build automated systems that enhance the performance of our marketing efforts.
  • Staying up-to-date with the latest advancements in machine learning and AI, and applying them to our product development.
  • Collaborating with a multi-skilled team to deliver exceptional results and exceed customer expectations.

Requirements

To succeed in this role, you'll need:

  • Proven industry experience building and deploying machine learning models, with a strong understanding of end-to-end machine learning pipelines and components.
  • Strong coding proficiency in Python, with familiarity with several popular libraries and tools.
  • Excellent collaboration and communication skills, with the ability to work effectively with cross-functional teams.
  • A strong understanding of computer science and engineering fundamentals, including system design, data structures, architecture, and design patterns.
  • Experience working with cloud-based platforms and containers, such as AWS, GCP, or Azure.

Benefits

We offer a range of benefits, including equity packages, inclusive parental leave policies, and flexible leave options.

Other Information

Please note that interviews will be conducted virtually, and hiring decisions will be based on your experience, skills, and passion.